/// <summary>
/// Instatiates a ready-to-go median flow tracker.
/// All of its initial configuration is done here.
/// </summary>
private void InstantiateTracker()
{
// grid bounding box
_gridBb = new MedianFlowTrackerBoundingBox
(
new Size(10, 10),
new SizeF(5, 5)
);
// lucas kanade tracker
_lkTracker = new LucasKanadeTracker(
new Size(11, 11),
2,
new MCvTermCriteria(20, 0.03),
LKFLOW_TYPE.DEFAULT,
LKFLOW_TYPE.CV_LKFLOW_PYR_A_READY | LKFLOW_TYPE.CV_LKFLOW_PYR_B_READY
);
// fb error and ncc calculators
_fbErrorCalc = Service.FBError;
_nccCalc = Service.NCC;
// patch size for calculating NCC
_patchSize = new Size(11, 11);
// MAD treshold
_madTrashold = 10;
// ** instantiate the median flow tracker **
_tracker = new MedianFlowTracker(
_gridBb,
_lkTracker,
_fbErrorCalc,
_nccCalc,
_patchSize,
_madTrashold
);
// initial frame
_initialFrame = new Image <Gray, byte>(Path.Combine(_resourceDir, "violeta_5.jpg"));
// initial bounding box
_initialBB = new BoundingBox(
new PointF(90, 81),
new SizeF(70, 40)
);
// ** initialize the median flow tracker **
_tracker.Initialize(_initialFrame, _initialBB);
}
public static ITld Instantiate()
{
IObjectModel objectModel = LoadObjectModel();
MedianFlowTracker tracker = LoadTracker();
IDetector detector = LoadDetector(objectModel);
ILearner learner = LoadLearner(objectModel, detector);
ITld tld = new Tld(
objectModel,
tracker,
learner,
detector,
new ZdenekOutputStrategy(objectModel, learner)
);
tld.PostInstantiation();
return(tld);
}
private void ArrangeTypicalCase()
{
// 1. arrange
// 1.1 initialize median flow tracker
// 1.1.1 frame size
_frameSize = new Size(8, 6);
// 1.1.2 bounding box
PointF bbCenter = new PointF(3.5f, 2.5f);
SizeF bbSize = new SizeF(3, 1);
PointF[] bbVisiblePoints = new PointF[] {
new PointF(2, 2), new PointF(3, 2), new PointF(4, 2), new PointF(5, 2),
new PointF(2, 3), new PointF(3, 3), new PointF(4, 3), new PointF(5, 3),
};
_bb = new MedianFlowTrackerBoundingBoxStub(bbCenter, bbSize, bbVisiblePoints);
// 1.1.3 lucas kanade tracker
List <PointF[]> forwardPointsList = new List <PointF[]>();
forwardPointsList.Add(new PointF[] {
new PointF(0, 3), new PointF(2, 3), new PointF(4, 0), new PointF(8, 0),
new PointF(0, 5), new PointF(3, 1), new PointF(4, 5), new PointF(6, 5),
});
List <PointF[]> backwardPointsList = new List <PointF[]>();
backwardPointsList.Add(new PointF[] {
new PointF(2, 2), new PointF(3, 2), new PointF(7, 0), new PointF(8, 0),
new PointF(2, 3), new PointF(6, 1), new PointF(4, 3), new PointF(-1, 5),
});
List <byte[]> forwardStatusList = new List <byte[]>();
forwardStatusList.Add(new byte[] {
1, 1, 1, 0,
1, 1, 1, 1
});
List <byte[]> backwardStatusList = new List <byte[]>();
backwardStatusList.Add(new byte[] {
1, 1, 1, 1,
0, 1, 1, 1
});
_LKtracker = new LucasKanadeTrackerStub(
forwardPointsList,
backwardPointsList,
forwardStatusList,
backwardStatusList
);
// 1.1.4. FBError and NCC calculators
_service = new ServiceStub();
_service.FBErrorsList = new List <List <float> >();
_service.FBErrorsList.Add(new List <float>()
{
0, 0, 2,
2, 0, 0
});
_service.NCCsList = new List <List <float> >();
_service.NCCsList.Add(new List <float>()
{
1, 1, -1,
-1, 1, 1
});
TLD.Model.MedianFlowTracker.FBError_Calculator fb_calc = _service.FBErrorStub;
TLD.Model.MedianFlowTracker.NCC_Calculator ncc_calc = _service.NCCStub;
// 1.1.5. MAD threshold
_madThreshold = 10;
// 1.1.6. instantiate and initialize
_tracker = new MedianFlowTracker(
_bb,
_LKtracker,
fb_calc,
ncc_calc,
new Size(2, 2),
_madThreshold
);
_tracker.Initialize(new Image <Gray, byte>(_frameSize), _bb);
}